SAT prep now uses official College Board practice references at generation time, backed by an expanded question bank, stronger adaptive personalization, clearer TTS, and scale-ready infrastructure.
Jump into Lernex and see what's new for yourself.
v1.2 is a major SAT-focused release. We rebuilt SAT prep around official exam references, upgraded personalization from static routing into a full adaptive intelligence loop, and improved text-to-speech clarity so complex math is easier to follow even when your eyes are off screen.
Lessons and quizzes now anchor to official SAT sources, while a new closed-loop personalization system tracks outcomes and actively improves future instruction.
SAT prep now relies on official SAT practice references as a first-class input for both lessons and quizzes. Instead of generating from generic patterns, the system retrieves authentic references by section and topic, then matches format and difficulty so practice looks and feels like the real test.
SAT lesson and quiz generation now pulls topic-matched official SAT references during runtime for authentic structure and tone.
The SAT source pool now exceeds 1,000 official questions, giving broader coverage and stronger diversity by section and topic.
Question style stays exam-true while difficulty, pacing, and explanation framing still adapt to each learner.
Personalization is no longer a one-time selection. v1.2 upgrades the stack to end-to-end adaptive behavior with consistent bundle and policy injection across major generation paths, anticipatory error mapping, calibrated hidden-signal thresholds, and adaptive signal weighting that learns from what actually works.
TTS translation and speech formatting were reworked for better clarity, smoother pacing, and stronger math readability. Complex expressions are translated into natural spoken language more reliably, so lessons are easier to understand during hands-free study.
Fractions, roots, symbols, and equations are normalized into more legible spoken phrasing.
Markdown and formatting artifacts are stripped more consistently before synthesis.
This release also includes pricing and model-cost tuning that increases practical usage headroom, with some workflows seeing up to 25% more usage. Alongside that, we shipped broad reliability fixes and laid infrastructure groundwork for significantly larger traffic and personalization throughput.
Model and cost-path adjustments increase usable generation capacity for many learners.
New observability tables, indices, and policy controls prepare the stack for major growth.
Across SAT prep, TTS, and personalization routes, we fixed edge cases, tightened behavior, and improved stability for day-to-day use.